Lattice Reduction-Aided Regularized Block Diagonalization for Multiuser MIMO Systems

Provided by: University of Würzburg
Topic: Mobility
Format: PDF
By employing the regularized block diagonalization (RBD) preprocessing technique, the multi-user multi-input multioutput (MU-MIMO) broadcast channel is decomposed into multiple parallel independent single user multi-input multi-output (SU-MIMO) channels and achieves the maximum diversity order at high data rates. The computational complexity of RBD, however, is relatively high due to two singular value decomposition (SVD) operations. In this paper, a low-complexity lattice reduction aided RBD is proposed. The first SVD is replaced by a QR decomposition, and the orthogonalization procedure provided by the second SVD is substituted by a lattice reduction whose complexity is mainly contributed by a QR decomposition.

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